set_openai_ads_budget

SERVERHermoso SOURCEhttps://app.hermoso.ai/mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/hermoso/set-openai-ads-budget.md

WHAT IT DOES

What set_openai_ads_budget does on Hermoso

AI agents use set_openai_ads_budget to create or update resources in Hermoso, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Hermoso environment.

RISK

Why set_openai_ads_budget is rated Medium

An AI agent can call set_openai_ads_budget faster than any human can review: one bad instruction and it creates or modifies resources in Hermoso by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs set_openai_ads_budget safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Hermoso, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For set_openai_ads_budget, this is the rule to start with:

set_openai_ads_budget Rate-limited

set_openai_ads_budget stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "set_openai_ads_budget": {
      "limits": [
        {
          "counter": "set_openai_ads_budget_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Hermoso, apply this rule, and every set_openai_ads_budget call is checked against it from then on.

FAQ

Questions about set_openai_ads_budget

What does the set_openai_ads_budget tool do? +

Change a ChatGPT Ads campaign’s budget — a daily cap, a lifetime cap, or both, in the ad account’s currency. A LIFETIME (total) budget is PACED by ChatGPT Ads to spread spend evenly across the campaign’s dates (actual daily spend still varies with available delivery), so a total budget is not a first-come-first-served pool. ChatGPT Ads’ own minimum for a DAILY budget is 25.00 (measured live 2026-08-05; a LIFETIME budget has no such floor, so use one to spend less than that in total). Raising it on a LIVE (active) campaign increases real spend immediately, so you MUST show the user the old and new amounts, get an explicit yes, then call with confirm:true. Lowering it or changing a paused campaign is safe. The campaign is READ BACK after the change and the note is built from that. It is categorised as a Write tool in the Hermoso MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on set_openai_ads_budget? +

Register the Hermoso MCP server in PolicyLayer and add a rule for set_openai_ads_budget: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Hermoso. Nothing to install.

What risk level is set_openai_ads_budget? +

set_openai_ads_budget is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit set_openai_ads_budget? +

Yes. Add a rate_limit block to the set_openai_ads_budget rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block set_openai_ads_budget completely? +

Set action: deny in the PolicyLayer policy for set_openai_ads_budget. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides set_openai_ads_budget? +

set_openai_ads_budget is provided by the Hermoso MCP server (https://app.hermoso.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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